ObjectTypo-Redmond-WAN2-T2V-14B

ObjectTypography LoRA for Wan

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Special Thanks:
This project was made possible thanks to generous sponsorship and GPU time provided by reDMOND Ai.
We are grateful for their support in training this LoRA.

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Model Description

This LoRA specializes in creating ObjectTypography - a creative technique where words and letters are formed by natural and man-made objects in the environment. The model excels at spelling out words through clever arrangements of elements like crops, light, shadows, natural formations, and urban textures.

This version is specifically adapted for use with Wan-AI models, like Wan2.2-T2V-A14B.

Trigger Words

The trigger phrase is ObjectTypography.

For best results, start your prompt with "ObjectTypography." followed by a description of how a word is formed by objects in a scene. The model will create dynamic, artistic compositions where letters emerge from environmental elements.

Setup for ComfyUI

To use this LoRA in ComfyUI, simply place the file in your loras directory:

• Download ObjectTypography-WAN22.safetensors and place it in ComfyUI/models/loras/

Ensure your ComfyUI environment is already configured to run Wan models.

Example Workflow (ComfyUI)

In your ComfyUI workflow, add a Load LoRA node after your base model loader.

1. Load your base Wan model.
2. Connect the output of the model loader to the model input of the Load LoRA node.
3. Select ObjectTypography-WAN22.safetensors in the Load LoRA node.
4. Connect the MODEL output of the LoRA node to your KSampler.
5. Adjust the strength_model as needed (0.8-1.0 is a good starting point).

References

• Base Model: Wan-AI/Wan2.2-T2V-A14B
• ComfyUI: comfyanonymous/ComfyUI

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🌐 Website

You can find more of my models, projects, and information on my official website:

• artificialguy.com

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